A comprehensive handbook covering fundamental data structures and algorithms concepts through visual explanations and code examples. Topics include arrays, hash tables, two pointers technique, sliding window, stacks, binary search, linked lists, trees, heaps, and backtracking. Each concept is explained with practical implementations in JavaScript, TypeScript, and Python, along with time and space complexity analysis. The guide emphasizes understanding core principles rather than memorizing specific problem solutions.
Table of contents
Table of ContentsPrerequisitesChapter One: Arrays & HashingChapter Two: Two PointersChapter Three: Sliding WindowChapter Four: StackChapter Five: Binary SearchChapter Six: Linked ListsInterlude: Fast & Slow PointersChapter Seven: TreesChapter Eight: Heap / Priority QueueChapter Nine: BacktrackingChapter Ten: TriesChapter Eleven: GraphsChapter Twelve: Dynamic ProgrammingChapter Thirteen: IntervalsChapter Fourteen: Bit ManipulationConclusion2 Comments
Sort: